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The easiest way to automate your entire workflow

While Mac and iPhone users have powerful devices, the real challenge is automatically tying everything together. Moving files, syncing calendars, posting across platforms, and tracking tasks are essential yet repetitive. In this article, we’ll explain how you can unlock your true productivity superpower with automation that clears away busywork so you stay focused on what matters. Read on to learn how 9to5Mac readers can save both time and money… Let self-hosted n8n work for you While Mac and

Le Chat: Custom MCP Connectors, Memories

Today, we’re giving you more reasons to switch to Le Chat. The widest enterprise-ready connector directory (beta), with custom extensibility, making it easy to bring workflows into your AI assistant. Directory of 20+ secure connectors—spanning data, productivity, development, automation, commerce, and custom integrations. Search, summarize, and act in tools like Databricks, Snowflake, GitHub, Atlassian, Asana, Outlook, Box, Stripe, Zapier, and more. Custom extensibility: Add your own MCP conne

Le Chat. Custom MCP Connectors. Memories

Today, we’re giving you more reasons to switch to Le Chat. The widest enterprise-ready connector directory (beta), with custom extensibility, making it easy to bring workflows into your AI assistant. Directory of 20+ secure connectors—spanning data, productivity, development, automation, commerce, and custom integrations. Search, summarize, and act in tools like Databricks, Snowflake, GitHub, Atlassian, Asana, Outlook, Box, Stripe, Zapier, and more. Custom extensibility: Add your own MCP conne

Forget plug-and-play AI: Here's what successful AI projects do differently

Elyse Betters Picaro / ZDNET Follow ZDNET: Add us as a preferred source on Google. ZDNET's key takeaways Only 5% of AI projects deliver. It comes down to the ability to customize. With partnerships in place, AI success odds double. Ask the right questions before deciding between building or buying. There's a tremendous gap between AI aspirations and actual successful projects -- this was shown in the recent MIT study that found only 5% of generative AI projects have delivered measurable va

Why most AI projects flop - and how your business can beat the odds

Elyse Betters Picaro / ZDNET Follow ZDNET: Add us as a preferred source on Google. ZDNET's key takeaways Only 5% of AI projects deliver. It comes down to the ability to customize. With partnerships in place, AI success odds double. Ask the right questions before deciding between building or buying. There's a tremendous gap between AI aspirations and actual successful projects -- this was shown in the recent MIT study that found only 5 percent of generative AI projects have delivered measur

Build durable workflows with Postgres

When we started building a durable workflows library, the most critical architectural decision we faced was what data store to use for workflow metadata. The core durable workflow operations are simple–checkpointing workflow state and recovering an interrupted workflow from its latest checkpoint. Almost any data store can handle these operations, but choosing the right one is critical to ensure workflows are scalable and performant. In this blog post, we’ll dive deep into why we chose to build

Nextflow: System for creating scalable, portable, reproducible workflows

"Dataflow variables are spectacularly expressive in concurrent programming" Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum Nextflow is a workflow system for creating scalable, portable, and reproducible workflows. It is based on the dataflow programming model, which greatly simplifies the writing of parallel and distributed pipelines, allowing you to focus on the flow of data and computation. Nextflow can deploy workflows on a variety of execution platforms, including your local mach